To send OpenTelemetry metrics and traces generated by ARMS from your AI Application to Prometheus and Jaeger, follow the below steps.

1. Configure OpenTelemetry Collector

Prometheus + Jaeger requires an OpenTelemetry Collector to route metrics to Prometheus and traces to Jaeger.

Install OpenTelemetry Collector (if not already running)

For detailed installation instructions, refer to the OpenTelemetry Collector Documentation.

Configure the Collector

1. Configure OTLP Receiver: Set up receiver on 0.0.0.0:4318 for HTTP and 0.0.0.0:4317 for gRPC.
2. Define Exporters:
   • prometheusremotewrite for metrics → Prometheus
   • otlp for traces → Jaeger
3. Assign to Pipelines: Route metrics and traces to appropriate backends.

Complete Collector Configuration

receivers:
  otlp:
    protocols:
      grpc:
        endpoint: 0.0.0.0:4317
      http:
        endpoint: 0.0.0.0:4318

processors:
  batch:
  memory_limiter:
    # 80% of maximum memory up to 2G
    limit_mib: 1500
    # 25% of limit up to 2G
    spike_limit_mib: 512
    check_interval: 5s

exporters:
  prometheusremotewrite:
    endpoint: "YOUR_PROMETHEUS_REMOTE_WRITE_URL"
    add_metric_suffixes: false
  otlp:
    endpoint: "YOUR_JAEGER_URL"

service:
  pipelines:
    traces:
      receivers: [ otlp ]
      processors: [ memory_limiter, batch ]
      exporters: [ otlp ]
    metrics:
      receivers: [ otlp ]
      processors: [ memory_limiter, batch ]
      exporters: [ prometheusremotewrite ]

Replace:

1. YOUR_PROMETHEUS_REMOTE_WRITE_URL with your Prometheus remote write endpoint.
   • Example: https://prometheus.grafana.net/api/prom/push
2. YOUR_JAEGER_URL with your Jaeger endpoint.
   • Example: jaeger:4317 (for local setup)
   • Example: jaeger-collector.monitoring.svc.cluster.local:4317 (for Kubernetes)

2. Instrument your application

SDK

For direct integration into your Python applications:

Function Arguments

import elsai_arms

elsai_arms.init(
  otlp_endpoint="YOUR_OTELCOL_URL:4318"
)

Replace:

1. YOUR_OTELCOL_URL:4318 with the HTTP endpoint of your OpenTelemetry Collector.
   • Example: http://127.0.0.1:4318 (for local collector)
   • Example: http://otel-collector.monitoring.svc.cluster.local:4318 (for Kubernetes)

Environment Variables

import elsai_arms

elsai_arms.init()

Set these environment variables:

export OTEL_EXPORTER_OTLP_ENDPOINT="YOUR_OTELCOL_URL:4318"

Replace:

1. YOUR_OTELCOL_URL:4318 with the HTTP endpoint of your OpenTelemetry Collector.
   • Example: http://127.0.0.1:4318 (for local collector)
   • Example: http://otel-collector.monitoring.svc.cluster.local:4318 (for Kubernetes)

See the ARMS SDK configuration docs for more advanced options.

CLI

For zero-code auto-instrumentation via command line:

CLI Arguments

# Using CLI arguments
elsai-arms-instrument \
  --otlp-endpoint "YOUR_OTELCOL_URL:4318" \
  --service-name "my-ai-service" \
  --deployment-environment "production" \
  python app.py

Replace:

1. YOUR_OTELCOL_URL:4318 with the HTTP endpoint of your OpenTelemetry Collector.
   • Example: http://127.0.0.1:4318 (for local collector)
   • Example: http://otel-collector.monitoring.svc.cluster.local:4318 (for Kubernetes)

Environment Variables

# Set environment variables (takes precedence over CLI args)
export OTEL_EXPORTER_OTLP_ENDPOINT="YOUR_OTELCOL_URL:4318"
export OTEL_SERVICE_NAME="my-ai-service"
export OTEL_DEPLOYMENT_ENVIRONMENT="production"

# Run your application
elsai-arms-instrument python app.py

Replace:

1. YOUR_OTELCOL_URL:4318 with the HTTP endpoint of your OpenTelemetry Collector.
   • Example: http://127.0.0.1:4318 (for local collector)
   • Example: http://otel-collector.monitoring.svc.cluster.local:4318 (for Kubernetes)

See the ARMS SDK configuration docs for more advanced options.

3. Import the pre-built Dashboard

1. Log into your Grafana Instance. To install Grafana, refer to the Official documentation.
2. Add Data Sources: Make sure Prometheus and Jaeger are added as data sources in Grafana. To add a new data source, follow the steps in the Official documentation.
3. Click Dashboards in the primary menu.
4. Click New and select Import in the drop-down menu.
5. Copy the dashboard JSONs provided in the offical Grafana AI Observability repository
6. Paste the dashboard JSONs one by one directly into the text area.
7. Click Import.
8. Save the dashboard.